CI Extended Triangle Analysis
1 Libraries
library(package = "tidyverse")## ── Attaching packages ───────────────────────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ──## ✔ ggplot2 3.1.0 ✔ purrr 0.3.2
## ✔ tibble 2.1.1 ✔ dplyr 0.8.0.1
## ✔ tidyr 0.8.3 ✔ stringr 1.4.0
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## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag() library(package = "lubridate")##
## Attaching package: 'lubridate'## The following object is masked from 'package:base':
##
## date library(package = "rlist")
library(package = "ncdf4")
library(package = "ncdf4.helpers")
library(package = "PCICt")
library(package = "reshape2")##
## Attaching package: 'reshape2'## The following object is masked from 'package:tidyr':
##
## smiths2 Input Data File
# directory/URL root
directory = "/projects/BIG_WEATHER/GENS_ERROR_RT/triangle_archives/"
directory = "http://kyrill.ias.sdsmt.edu:8080/thredds/fileServer/BWW_GENS/CI_STAT/"
time_range = "2015-06-01_00_to_2019-03-31_00"
region = "WRFRAP"
RdataFile = str_c(directory,
"gens_03_ensemble__",
"T2M_MSLP_M10_SPCH2M_ISOHGT_U10_V10_FRICV_GUST",
"__error__",
region,
"__",
time_range,
".RData",
sep = "")
load(file = url(RdataFile))
Time = unique(CI_Ensemble_Stats$Time)
Fx_Hour = unique(CI_Ensemble_Stats$Fx_Hour)
Variable = unique(CI_Ensemble_Stats$Variable)
Height = unique(CI_Ensemble_Stats$Height)
CI_Ensemble_Stats$Month = month(CI_Ensemble_Stats$Time)
CI_Ensemble_Stats = CI_Ensemble_Stats %>%
mutate(Quarter = case_when(((Month == 12) | (Month == 01) | (Month == 02))
~ "DJF",
((Month == 03) | (Month == 04) | (Month == 05))
~ "MAM",
((Month == 06) | (Month == 07) | (Month == 08))
~ "JJA",
((Month == 09) | (Month == 10) | (Month == 11))
~ "SON") )3 Triangle Plots
3a 2-m Air Temperature
Var = "T2M"
Varname = "2-m Air Temperature"
Hgt = 2
Fx = 24
for (Fx in Fx_Hour[2:length(Fx_Hour)]) {
fx_subset = CI_Ensemble_Stats %>% filter((Variable == Var) &
(Height == Hgt) &
(Fx_Hour == Fx) ) %>%
select(-Quarter)
seasonal_subset = CI_Ensemble_Stats %>% filter((Variable == Var) &
(Height == Hgt) &
(Fx_Hour == Fx) )
myplot = ggplot(data = seasonal_subset) +
aes(x = Ens_StDev,
y = RMSE_Ens000,
color = Quarter) +
facet_wrap(facets = ~ Quarter) +
theme_bw() +
theme(strip.background = element_rect(fill=NA),
) +
labs(title = str_c(Fx,
"-hr Forecast, CI Seasonal Triangles for ",
Varname,
sep = ""),
subtitle = str_c(region_name,
sep = "")) +
xlab("Ensemble Standard Deviation") +
ylab("Root Mean Squared Error") +
geom_point(data = fx_subset,
color = "grey",
alpha = 0.5) +
scale_colour_manual(values=c("DJF" = "cyan",
"MAM" = "green",
"JJA" = "magenta",
"SON" = "orange"),
guide =FALSE) +
geom_point(data = seasonal_subset,
alpha = 0.7)
print(myplot)
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